CN115310628A - Resource compound utilization method and system based on organic solid waste characteristic data - Google Patents
Resource compound utilization method and system based on organic solid waste characteristic data Download PDFInfo
- Publication number
- CN115310628A CN115310628A CN202210851786.2A CN202210851786A CN115310628A CN 115310628 A CN115310628 A CN 115310628A CN 202210851786 A CN202210851786 A CN 202210851786A CN 115310628 A CN115310628 A CN 115310628A
- Authority
- CN
- China
- Prior art keywords
- organic solid
- solid waste
- thermal analysis
- data
- analysis curve
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/30—Administration of product recycling or disposal
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Quality & Reliability (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Operations Research (AREA)
- General Business, Economics & Management (AREA)
- Development Economics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Game Theory and Decision Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- Processing Of Solid Wastes (AREA)
Abstract
The invention relates to the field of solid waste resource utilization, and aims to provide a resource compound utilization method and system based on organic solid waste characteristic data. The method comprises the following steps: screening and calculating the proportion relation of the organic solid waste monomers according to the range of chemical components of the prepared complex ligand; primarily screening according to application requirements, and then selecting a thermal analysis curve to convert into a binary image; acquiring thermal analysis curve position information and a data scale based on the image, and forming a thermal analysis curve analysis data set; performing compounding calculation to obtain a thermal analysis curve compounding data set, and calculating the kinetic parameters of the thermal analysis curve compounding data set; and then, according to actual requirements, by combining the reserves and the cost, judging and screening the prediction result, and preparing the complex ligand. The method combines the solid waste recycling route, the characteristic data management system and the organic solid waste compounding principle to carry out characteristic regulation and control, obtains the set of predicted raw materials from the data level, and can greatly reduce the early engineering experiment workload and the research period.
Description
Technical Field
The invention relates to the field of solid waste resource utilization, in particular to a resource compound utilization method and system based on organic solid waste characteristic data.
Background
The comprehensive utilization of the solid wastes is an important component for constructing low-carbon circular economy, and is an important support for assisting carbon to reach a peak and realizing carbon neutralization, so how to realize green, efficient, high-value and large-scale utilization of the organic solid wastes is a urgent affair in the organic solid waste disposal industry.
The organic solid wastes have resource attributes, and are realized in various aspects in resource utilization, and mainly comprise building materials, raw material substitution, new product research and development, soil improvement, fertilizer production and the like. Compounding is a common method in the process of recycling organic solid wastes, but the organic solid wastes have various types, complex characteristics and large difference of characteristics of different types of organic solid wastes, and the problems of long time, low efficiency and the like when experiments are carried out by the conventional means.
At present, the development of an organic solid waste system is basically focused on the aspect of supervision, and the resource utilization of organic solid waste compounding oriented by resource utilization is still insufficient. Mainly embodied in low intelligent degree of parameter adjustment, insufficient system coverage, insufficient resource guidance, and lack of regulation and intelligent prediction of related compounding characteristics, thereby greatly increasing the engineering experiment workload and the research period in the process of resource utilization of organic solid wastes.
Therefore, an intelligent method and an intelligent system for recycling organic solid wastes are needed to effectively reduce the cost and research time in the process of recycling the organic solid wastes.
Disclosure of Invention
The invention aims to solve the technical problem of overcoming the defects in the prior art and provides a method and a system for recycling and compound utilization based on organic solid waste characteristic data.
In order to solve the technical problem, the solution of the invention is as follows:
the method for resource compound utilization based on the organic solid waste characteristic data comprises the following steps:
(1) Carrying out physical and chemical characteristic analysis on monomer components contained in various organic solid wastes, sorting the analysis result and establishing a database, wherein the data in the database at least comprises chemical components and thermal analysis curves of various monomer components;
(2) Screening out proper organic solid waste monomers from a database according to the chemical component range of the prepared complexing body, and calculating the compounding ratio relation of the monomers;
(3) According to the application requirement of the complex ligand, carrying out primary screening on the organic solid waste monomer and the mixture ratio in the step (2) to replace the monomer component option which does not meet the requirement;
(4) Selecting a corresponding thermal analysis curve according to the preliminarily screened monomer components and converting the thermal analysis curve into a binary image;
(5) Processing the binary image of the thermal analysis curve to obtain position information and a data scale of the thermal analysis curve and form a thermal analysis curve analysis data set;
(6) Performing compounding calculation based on the compounding ratio relationship obtained in the step (2) and the thermal analysis curve analysis data set obtained in the step (5) to obtain a thermal analysis curve compounding data set;
(7) Performing kinetic analysis on the thermal analysis curve compounded data set, and calculating kinetic parameters of the thermal analysis curve compounded data set; then according to the actually required requirements of the thermal stability and the combustion performance of the compound, the prediction results of the component proportion of a plurality of organic solid waste monomers for compounding are judged and screened by combining the reserves and the acquisition cost of the organic solid waste monomers;
(8) And outputting a final prediction result through a visual interactive interface, and preparing the complexing agent according to the prediction result.
As a preferred scheme of the invention, the compounding proportion relationship in the step (2) is as follows:
wherein, X, Y, Z represents the chemical composition of the complexing body and is a range value or a definite value; x 1 ，....，X n ，Y 1 ，....，Y n ，Z 1 ，....，Z n Denotes the chemical composition (characteristic) corresponding to the different monomer components, a 1 ，a 2 ，...，a n The corresponding ratio (parameter) is indicated.
As a preferable scheme of the invention, the compounding proportion relationship in the step (3) is as follows: when the preliminary screening is carried out, standards specified in national standards corresponding to various characteristic features are used as screening bases; if the data index of a certain organic solid waste monomer component does not meet the national standard, the data index is removed and replaced by a spare option, and then the compound calculation is carried out again.
As a preferable aspect of the present invention, the processing of the binary image of the thermal analysis curve in step (5) includes: intercepting the image matrix, deleting useless pixels except for the curve, acquiring thermal analysis curve position information based on the image matrix, and then giving a data scale according to coordinate values of the thermal analysis curve.
As a preferred scheme of the invention, the compounding calculation is carried out in the step (6) according to the following formula:
a 1 A 1 +a 2 A 2 +a 3 A 3 +...+a n A n →A
in the formula, a 1 ，a 2 ，...，a n Denotes the corresponding ratio (parameter), A 1 ，A 2 ，...，A n And analyzing data for thermal analysis curves of all organic solid waste monomer components, wherein A is thermal analysis curve data of the complex ligand.
In the step (7), the kinetic analysis is carried out on the thermal analysis curve compound data set by adopting Gaussian multimodal fitting and a Coats-Redfern method, and the kinetic parameters are calculated.
As a preferred scheme of the invention, in the step (7), statistical analysis is carried out on the calculation result which is judged to meet the requirement, and according to the requirements of the practical application scene on the thermal stability and the combustion performance of the compound, the prediction result with the optimal performance is screened out by combining the reserves and the acquisition cost of the organic solid waste monomers.
As a preferable scheme of the invention, the organic solid waste comprises 10 types of organic solid waste such as fly ash, coal gangue, sludge, red mud, waste incineration ash, polluted soil, mineralized waste, aluminum ash, carbide slag and desulfurized gypsum.
The invention further provides a resource re-compounding utilization system based on the organic solid waste characteristic data, which is characterized by comprising a processor and a data processing module, wherein the processor is suitable for realizing each instruction; and a storage device adapted to store a plurality of instructions adapted to be loaded by the processor and to perform the aforementioned method; the system also comprises a characteristic data management system and a characteristic regulation and control and intelligent prediction system which are realized in the form of computer programs; the system comprises a data acquisition module and a characteristic data management module, wherein the data acquisition module is used for acquiring physical and chemical characteristic data of monomer components contained in various organic solid wastes, and the characteristic data management module is used for storing a database containing the characteristic data; and (3) realizing the contents of the compound calculation, screening and result output in the steps (2) to (8) by the characteristic regulation and intelligent prediction system based on the characteristic data in the database.
Compared with the prior art, the invention has the beneficial effects that:
1. the characteristic data management system provided by the invention focuses on the standardization and systematization management of the organic solid waste characteristic data, and is convenient for researchers or related organizations to manage and dispose the organic solid waste according to the organic solid waste characteristic;
2. the prediction method provided by the invention combines the solid waste recycling route, the characteristic data management system and the organic solid waste compounding principle to regulate and control the characteristics, obtains the prediction raw material set only from the data level, and greatly reduces the early engineering experiment workload and the research period in the organic solid waste recycling process;
3. the invention can realize the systematic and intelligent management and application of the organic solid waste characteristic data, effectively reduce the engineering experiment workload, improve the resource utilization efficiency and provide design ideas and theoretical bases for the development of organic solid waste resource utilization engineering.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention;
fig. 2 is a schematic flow chart of the implementation of the present invention.
Detailed Description
The invention relates to a database technology, and is an application of a computer technology in the technical field of information security. In the implementation process of the invention, the application of a plurality of software functional modules is involved. The applicant believes that it is fully possible for one skilled in the art to utilize the software programming skills in his or her own practice to implement the invention, as well as to properly understand the principles and objectives of the invention, in conjunction with the prior art, after a perusal of this application. The aforementioned software functional modules include but are not limited to: the characteristic data management system, the characteristic regulation and control and intelligent prediction system, the data acquisition module, the characteristic data management module and the like belong to the scope mentioned in the application document of the invention, and the applicant does not list the characteristic data management system, the characteristic regulation and control and intelligent prediction system, the data acquisition module, the characteristic data management module and the like.
Those skilled in the art will appreciate that, in addition to implementing a portion of the system and its various devices, modules, units provided by the present invention as pure computer readable program code, the system and its various devices, modules, units provided by the present invention can be implemented with the same functionality in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like, simply by logically programming the method steps. Therefore, the system and various devices, modules and units thereof provided by the present invention can be regarded as a hardware component, and the devices, modules and units included therein for implementing various functions can also be regarded as structures within the hardware component; means, modules, units for performing the various functions may also be regarded as structures within both software modules and hardware components for performing the method.
It is further noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising one of 8230; \8230;" 8230; "does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
As shown in fig. 1, the system for recycling and utilizing organic solid wastes based on thermal analysis characteristics provided by the invention comprises a processor, a data processing module and a data processing module, wherein the processor is suitable for realizing instructions; and a storage device adapted to store a plurality of instructions adapted to be loaded by the processor and to perform the method of the invention. The intelligent method and system 100 for resource utilization of organic solid waste compound further comprise a characteristic data management system 200 and a characteristic regulation and intelligent prediction system 210 which are realized in a computer program form.
The characteristic data management system 200 comprises a data acquisition module 201 and a characteristic data management module 202, wherein the data acquisition module 201 acquires various organic solid waste characteristic data and uploads the characteristic data to the characteristic data management module 202; the property data management module 202 contains a database that records organic solid waste properties. The organic solid waste characteristic data from the data acquisition module 201 is stored in the organic solid waste characteristic database, and the data can be subjected to incremental and destructive examination, import, export and related calculation. The characteristic regulation and control and intelligent prediction system 210 realizes contents of complex calculation, screening and result output based on characteristic data in the database.
Illustratively, the organic solid waste comprises 10 types of organic solid waste, such as fly ash, coal gangue, sludge, red mud, waste incineration ash, polluted soil, mineralized waste, aluminum ash, carbide slag and desulfurized gypsum. Accordingly, the database may include: basic information of organic solid waste, organic solid waste characteristics, thermodynamic characteristic analysis, microstructure analysis and characteristic test results. Wherein the basic information of organic solid waste includes but is not limited to sample name, category, source, dangerous characteristics; the organic solid waste characteristics comprise but are not limited to oxide analysis results, industrial analysis results, basic physical characteristic analysis results, element analysis results, organic pollutant analysis results and heavy metal analysis results; thermodynamic characterization including, but not limited to, thermogravimetric analysis results; microstructure analysis includes, but is not limited to, XRD analysis results, scanning electron microscopy results; characteristic test results include, but are not limited to, strength characteristics, adsorption characteristics.
For example, oxide analysis results include, but are not limited to, siO 2 、Fe 2 O 3 、Al 2 O 3 、TiO 2 、CaO、MgO、Na 2 O、K 2 0、SO3、P 2 O 5 (ii) a Industrial analysis results include, but are not limited to, moisture, ash, volatiles, fixed carbon, dry-based high calorific value, wet-based low calorific value; the basic physical property analysis results include, but are not limited to, volume weight, density, bulk density, specific surface area, average particle size, hardness, hydrocarbon ratio, particle size distribution, pore size distribution; elemental analysis results include, but are not limited to, O, C, S, F, cl, br, si, P, al, ca, mg, na, K, fe; the analysis result of the organic pollutants comprises but is not limited to PAHs, dioxins and CPs; heavy metal analysis results include, but are not limited to, cu, zn, pb, ni, cd, cr, as, se, hg, mn.
Based on the characteristic data of the organic solid wastes in the database, the characteristic regulation and control and intelligent prediction system 210 realizes the compound calculation, screening and result output in the process of recycling the organic solid wastes.
In the invention, the flow of the resource compound utilization method based on the organic solid waste characteristic data is shown in figure 2, and the concrete steps are as follows:
step 1, carrying out physical and chemical characteristic analysis on monomer components contained in various organic solid wastes, sorting results obtained by analysis and establishing a database, wherein data in the database at least comprise chemical components and thermal analysis curves of various monomer components; and may further include various types of characteristic data as previously listed.
Step 2, screening out proper organic solid waste monomers from a database according to the chemical component range of the prepared complex ligand, and calculating the compounding ratio relation of the organic solid waste monomers;
taking the preparation of sintered ceramsite as an example, the proper range of chemical components for preparing the sintered ceramsite complex ligand is SiO 2 (45～65)、Al 2 O 3 (18～32)、Fe 2 O 3 (6～12)、Ca0+MgO(4～8)、K 2 O+Na 2 And O (1.5-5), screening from the organic solid-waste characteristic database according to the proper range of the chemical components of the sintered ceramsite complexing body to obtain an organic solid-waste monomer capable of compounding the sintered ceramsite complexing body and a corresponding compounding ratio, wherein the compounding ratio is as follows:
wherein, X, Y, Z represents the chemical composition of the sintered ceramsite in the step 1, and X1, X n ，Y 1 ，....，Y n ，Z 1 ，....，Z n Represents the corresponding chemical components (characteristics) of different organic solid waste monomers, a 1 ，a 2 ，...，a n The corresponding ratio (parameter) is indicated.
Step 3, primarily screening the organic solid waste monomers and the mixture ratio in the step 2 according to the application requirements of the complex ligand, and replacing the monomer component options which do not meet the requirements; specifically, standards specified in national standards corresponding to various characteristic features are used as screening bases, and if data indexes of certain organic solid waste monomer components do not meet the requirements of the national standards, the data indexes are removed and replaced by alternative options, and then compound calculation is carried out again.
For example, organic solid waste monomers and mixture ratio combinations which do not meet the national standard can be removed according to characteristic data such as pollution characteristics, organic pollutant analysis and heavy metal analysis results in a database.
Step 4, selecting a thermal analysis curve in the corresponding organic solid waste monomer according to the organic solid waste monomer and the corresponding proportion in the step 3, and converting the selected thermal analysis curve into a binary image;
step 5, preprocessing the binary image of the thermal analysis curve from the step 3 to obtain position information and a data scale of the thermal analysis curve and form a thermal analysis curve analysis data set;
the method comprises the specific steps of intercepting an image matrix, eliminating useless pixels (labels and the like, only curves are left), obtaining thermal analysis curve position information (based on positions on the image matrix), and then giving a data scale (the data scale is given according to coordinate values of the thermal analysis curve).
Step 6, carrying out compounding calculation based on the compounding ratio relationship obtained in the step 2 and the thermal analysis curve analysis data set obtained in the step 5 to obtain a thermal analysis curve compounding data set; specifically, the compound calculation is carried out according to the following formula:
a 1 A 1 +a 2 A 2 +a 3 A 3 +...+a n A n →A
in the formula, a 1 ，a 2 ，...，a n Denotes the corresponding ratio (parameter), A 1 ，A 2 ，...，A n And analyzing data for thermal analysis curves of all organic solid waste monomer components, wherein A is thermal analysis curve data of the complex ligand.
Step 7, performing kinetic analysis on the thermal analysis curve compound data set, and calculating kinetic parameters of the thermal analysis curve compound data set; then judging and screening the prediction results of the distribution ratio of the plurality of organic solid waste monomer components for compounding;
illustratively, kinetic analysis of the thermal analysis curve formulation dataset using gaussian multimodal fitting and the Coats-Redfern method was performed to calculate kinetic parameters. And (4) carrying out statistical analysis on the calculation results which are judged to meet the requirements, and screening out a prediction result with the optimal performance according to the requirements of the practical application scene on the thermal stability and the combustion performance of the compound body and by combining the reserves and the acquisition cost of the organic solid waste monomers. Gaussian multimodal fitting and the Coats-Redfron method are commonly used as thermogravimetric dynamics analysis tools, and are not described in detail here.
And 8, outputting a final prediction result through the visual interactive interface, and preparing the complexing body according to the prediction result.
Claims (9)
1. A resource compound utilization method based on organic solid waste characteristic data is characterized by comprising the following steps:
(1) Carrying out physical and chemical characteristic analysis on monomer components contained in various organic solid wastes, sorting the analysis result and establishing a database, wherein the data in the database at least comprises chemical components and thermal analysis curves of various monomer components;
(2) Screening out proper organic solid waste monomers from a database according to the chemical component range of the prepared complexing body, and calculating the compounding ratio relation of the monomers;
(3) According to the application requirement of the complex ligand, carrying out primary screening on the organic solid waste monomer and the mixture ratio in the step (2) to replace the monomer component option which does not meet the requirement;
(4) Selecting a corresponding thermal analysis curve according to the preliminarily screened monomer components and converting the thermal analysis curve into a binary image;
(5) Processing the binary image of the thermal analysis curve to obtain position information and a data scale of the thermal analysis curve and form a thermal analysis curve analysis data set;
(6) Performing compounding calculation based on the compounding ratio relationship obtained in the step (2) and the thermal analysis curve analysis data set obtained in the step (5) to obtain a thermal analysis curve compounding data set;
(7) Performing kinetic analysis on the thermal analysis curve compounded data set, and calculating kinetic parameters of the thermal analysis curve compounded data set; then according to the actually required requirements of the thermal stability and the combustion performance of the compound, the prediction results of the component proportion of a plurality of organic solid waste monomers for compounding are judged and screened by combining the reserves and the acquisition cost of the organic solid waste monomers;
(8) And outputting a final prediction result through a visual interactive interface, and preparing the complexing agent according to the prediction result.
2. The method according to claim 1, wherein the compounding ratio relationship in step (2) is as follows:
wherein X, Y,. Represents the chemical composition of the complexing ligand, either a range value or a defined value; x 1 ，....，X n ，Y 1 ，....，Y n ，Z 1 ，....，Z n Representing the chemical components corresponding to the different monomer components, a 1 ，a 2 ，...，a n Indicating the corresponding proportion.
3. The method according to claim 1, wherein the compounding ratio relationship in step (3) is as follows: when the preliminary screening is carried out, standards specified in national standards corresponding to various characteristic features are used as screening bases; if the data index of a certain organic solid waste monomer component does not meet the national standard, the data index is removed and replaced by a spare option, and then the compound calculation is carried out again.
4. The method according to claim 1, wherein the processing of the binary image of the thermal analysis curve in step (5) comprises: intercepting the image matrix, deleting useless pixels except for the curve, acquiring thermal analysis curve position information based on the image matrix, and then giving a data scale according to coordinate values of the thermal analysis curve.
5. The method of claim 1, wherein the compounding in step (6) is calculated as follows:
a 1 A 1 +a 2 A 2 +a 3 A 3 +...+a n A n →A
in the formula, a 1 ，a 2 ，..，a n Denotes the corresponding ratio (parameter), A 1 ，A 2 ，...，A n And analyzing data for thermal analysis curves of all organic solid waste monomer components, wherein A is thermal analysis curve data of the complex ligand.
6. The method of claim 1, wherein in step (7), kinetic analysis is performed on the thermal analysis curve formulation dataset using gaussian multimodal fitting and the Coats-Redfern method to calculate kinetic parameters.
7. The method according to claim 1, wherein in the step (7), statistical analysis is performed on the calculation result which is judged to meet the requirements, and according to the requirements of the practical application scene on the thermal stability and the combustion performance of the compound, the prediction result with the optimal performance is screened by combining the reserves and the acquisition cost of the organic solid waste monomers.
8. The method according to claim 1, wherein the organic solid waste comprises 10 types of organic solid waste, namely fly ash, coal gangue, sludge, red mud, waste incineration ash, polluted soil, mineralized waste, aluminum ash, carbide slag and desulfurized gypsum.
9. A resource re-compounding utilization system based on organic solid waste characteristic data is characterized by comprising a processor, a data processing module and a data processing module, wherein the processor is suitable for realizing instructions; and a storage device adapted to store a plurality of instructions adapted to be loaded by a processor and to perform the method of claim 1;
the system also comprises a characteristic data management system and a characteristic regulation and intelligent prediction system which are realized in the form of computer programs; the system comprises a data acquisition module and a characteristic data management module, wherein the data acquisition module is used for acquiring physical and chemical characteristic data of monomer components contained in various organic solid wastes, and the characteristic data management module is used for storing a database containing the characteristic data; the characteristic regulation and control and intelligent prediction system realizes the contents of the compound calculation, the screening and the result output of the steps (2) to (8) in the claim 1 based on the characteristic data in the database.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210851786.2A CN115310628B (en) | 2022-07-18 | 2022-07-18 | Method and system for recycling compound utilization based on organic solid waste characteristic data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210851786.2A CN115310628B (en) | 2022-07-18 | 2022-07-18 | Method and system for recycling compound utilization based on organic solid waste characteristic data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115310628A true CN115310628A (en) | 2022-11-08 |
| CN115310628B CN115310628B (en) | 2023-10-13 |
Family
ID=83857370
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210851786.2A Active CN115310628B (en) | 2022-07-18 | 2022-07-18 | Method and system for recycling compound utilization based on organic solid waste characteristic data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115310628B (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102006013466A1 (en) * | 2006-03-23 | 2007-09-27 | Chen, Andy H. C. | Catalytic reaction utilization to recycle organic scrap e.g. oil tanks, by placing scrap and catalyst into vertical cracking furnace, and collecting primary cracked gas from furnace top and feeding solid product into rotary cracking furnace |
| US20090300982A1 (en) * | 2008-06-05 | 2009-12-10 | Chemical Products Corporation | Calcium carbonate soil amendment and industrial filler derived from carpet backing |
| CN107909068A (en) * | 2017-11-24 | 2018-04-13 | 苏州灯蓝软件科技有限公司 | A kind of big data image curve reverse resolution method and system |
| CN110300788A (en) * | 2017-02-22 | 2019-10-01 | 哈利伯顿能源服务公司 | Waste product is utilized by composition analysis |
| CN110723952A (en) * | 2019-10-12 | 2020-01-24 | 北京科技大学 | Phosphogypsum-based all-solid waste filler proportioning optimization method for improving filling roof contact rate |
| JP6871660B1 (en) * | 2020-03-13 | 2021-05-12 | ▲広▼州大学 | Oil shale slag concrete compounding ratio design method |
| CN113845335A (en) * | 2021-09-22 | 2021-12-28 | 中国煤炭地质总局勘查研究总院 | Proportioning method for preparing filling material by using coal-based solid waste |
| CN114155919A (en) * | 2021-12-10 | 2022-03-08 | 天津商业大学 | Multi-source urban solid waste compatibility optimization method based on machine learning |
| US20220083552A1 (en) * | 2020-09-17 | 2022-03-17 | Regents Of The University Of California | Query processing in a polystore |
| WO2022057104A1 (en) * | 2020-09-16 | 2022-03-24 | 中冶南方都市环保工程技术股份有限公司 | Method for preparing mine filling material using heavy metal tailings cemented by solid wastes in steel industry |
| CN114611940A (en) * | 2022-03-14 | 2022-06-10 | 中国科学院山西煤炭化学研究所 | Decision-making method and system for multi-source coal-based solid waste resource utilization direction |
-
2022
- 2022-07-18 CN CN202210851786.2A patent/CN115310628B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102006013466A1 (en) * | 2006-03-23 | 2007-09-27 | Chen, Andy H. C. | Catalytic reaction utilization to recycle organic scrap e.g. oil tanks, by placing scrap and catalyst into vertical cracking furnace, and collecting primary cracked gas from furnace top and feeding solid product into rotary cracking furnace |
| US20090300982A1 (en) * | 2008-06-05 | 2009-12-10 | Chemical Products Corporation | Calcium carbonate soil amendment and industrial filler derived from carpet backing |
| CN110300788A (en) * | 2017-02-22 | 2019-10-01 | 哈利伯顿能源服务公司 | Waste product is utilized by composition analysis |
| CN107909068A (en) * | 2017-11-24 | 2018-04-13 | 苏州灯蓝软件科技有限公司 | A kind of big data image curve reverse resolution method and system |
| CN110723952A (en) * | 2019-10-12 | 2020-01-24 | 北京科技大学 | Phosphogypsum-based all-solid waste filler proportioning optimization method for improving filling roof contact rate |
| JP6871660B1 (en) * | 2020-03-13 | 2021-05-12 | ▲広▼州大学 | Oil shale slag concrete compounding ratio design method |
| WO2022057104A1 (en) * | 2020-09-16 | 2022-03-24 | 中冶南方都市环保工程技术股份有限公司 | Method for preparing mine filling material using heavy metal tailings cemented by solid wastes in steel industry |
| US20220083552A1 (en) * | 2020-09-17 | 2022-03-17 | Regents Of The University Of California | Query processing in a polystore |
| CN113845335A (en) * | 2021-09-22 | 2021-12-28 | 中国煤炭地质总局勘查研究总院 | Proportioning method for preparing filling material by using coal-based solid waste |
| CN114155919A (en) * | 2021-12-10 | 2022-03-08 | 天津商业大学 | Multi-source urban solid waste compatibility optimization method based on machine learning |
| CN114611940A (en) * | 2022-03-14 | 2022-06-10 | 中国科学院山西煤炭化学研究所 | Decision-making method and system for multi-source coal-based solid waste resource utilization direction |
Non-Patent Citations (3)
| Title |
|---|
| VARINTHORN BOONYAROJ ET AL: "Utilization of Para Wood Ash in a Prototype of Flat Sheet Cement Composites", 《 2019 INTERNATIONAL CONFERENCE ON POWER, ENERGY AND INNOVATIONS (ICPEI)》, pages 114 - 117 * |
| 孙英娟 等: "工业固废制备聚合氯化铝铁及其在煤泥废水处理中的应用", 《矿产综合利用》, no. 1, pages 144 - 150 * |
| 李文峰: "气化灰渣浮选复配药剂作用机理及其分子模拟研究", 《中国优秀硕士学位论文全文数据库工程科技Ⅰ辑》, no. 3, pages 1 - 86 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115310628B (en) | 2023-10-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Diaz-Loya et al. | Toxicity mitigation and solidification of municipal solid waste incinerator fly ash using alkaline activated coal ash | |
| Jamshidi et al. | Performance of pavements incorporating industrial byproducts: A state-of-the-art study | |
| Song et al. | Machine learning enables rapid screening of reactive fly ashes based on their network topology | |
| Mahar et al. | Modeling and simulation of landfill gas production from pretreated MSW landfill simulator | |
| CN104403716A (en) | Method for producing biomass fuels by using garbage | |
| CN110981130A (en) | Method for judging utilization path of heavy metal polluted bottom mud | |
| Kumar et al. | Use of biomass ash for development of engineered cementitious binders | |
| Vignesh et al. | Challenges, issues, and problems with zero-waste tools | |
| Devahi et al. | Building material synthesization using municipal solid waste incineration ash: A state-of-the-art review | |
| CN115310628A (en) | Resource compound utilization method and system based on organic solid waste characteristic data | |
| CN110796375B (en) | Ecological technology screening layout method in urban moving land landscaping | |
| Badola et al. | Waste management: challenges and opportunities | |
| CN101704650A (en) | Resource recycling method of calcium-adding drying sludge | |
| Mandpe et al. | A life cycle analysis-based comprehensive study on municipal solid waste management: a case study of Central India | |
| CN106278130A (en) | A kind of method and apparatus using producing bricks from refuse | |
| Chavez et al. | Biogas treatment by ashes from incineration processes | |
| Li et al. | Robust interval quadratic programming and its application to waste management under uncertainty | |
| Onwurah et al. | Integrated environmental biotechnology-oriented framework for solid waste management and control in Nigeria | |
| Ge et al. | A disjunctive programming approach for sustainable design of municipal solid waste management | |
| Gedam et al. | CCR characterization and valorization as mineral additives during cement production in India | |
| Nazari et al. | Conventional Approaches for Waste Management—A Canadian Perspective | |
| Cheela et al. | Environmental impact evaluation of landfill mining of legacy waste with on-site sorting using life cycle assessment | |
| Show et al. | Sustainable Sludge Management: Resource Recovery for Construction Applications | |
| Boas Berg et al. | Waste management law by example of a small European commune | |
| Cheela et al. | Environmental Impact Evaluation of Current Municipal Solid Waste Treatments in India Using Life Cycle Assessment. Energies 2021, 14, 3133 |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |